Senior Distributed ML Engineer
Montrealonsitesenior
via Greenhouse
About this role
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda. In this role, you will work closely with ML research scientists to solve difficult training and inference problems using very large models.
Key Responsibilities
Collaborate with researchers to accelerate research, model training and inference, and facilitate the use of large-scale models in distributed computing environments.
Investigate performance bottlenecks, profile research experiment code, debug reported issues, and optimize the utilization of computing resources.
Develop tools and libraries to simplify and orchestrate the use of distributed computing resources for research experiments.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: grpc, aws, azure, gcp, kubernetes…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Montreal. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
grpcawsazuregcpkubernetesdockerpytorchhuggingfacerayteams